Conversation processing method and device, electronic equipment and storage medium

Abstract

The invention provides a conversation processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the first-level intention recognition ofa first round of corpus after the first round of corpus is received, and obtaining a first first-level intention and the confidence degree thereof; based on the confidence degree corresponding to thefirst first-level intention, screening out a second first-level intention of which the confidence degree is greater than a confidence degree threshold value of the questioning intention from the first first-level intention; if the confidence degree of the target first-level intention with the maximum confidence degree in the second first-level intention is smaller than an intention confirmation confidence degree threshold value, asking the target first-level intention back to a user; and if the first reply corpus of the user for the target first-level intention is a confirmation general judgment intention, triggering a target conversation task matched with the target first-level intention. According to the method and the device, the user does not need to switch corpus verbal techniques tore-trigger the intention by asking for the undefined intention triggered by the user, so that the conversation efficiency is improved, the man-machine interaction efficiency is high, and the conversation experience of the user is improved.

Description

technical field [0001] The present application relates to the technical field of games, in particular, to a dialogue processing method, device, electronic equipment and storage medium. Background technique [0002] With the development of artificial intelligence technology, some intelligent robots, such as virtual customer service, virtual anchors and other virtual characters, have emerged as the times require. The more common way of interaction between these products or characters and users is dialogue. For example, the user speaks a corpus, and the virtual character replies to the corpus to have a dialogue with the user. [0003] At present, when the virtual character receives the user's input corpus, it performs intent recognition on the input corpus, and when it recognizes that the user has a clear intention, it replies to the user with a reply corpus that matches the clear intention; however, when the user's unclear intention is recognized Intentions, the task-based di...

AI Technical Summary

Problems solved by technology

[0003] At present, when the virtual character receives the user's input corpus, it performs intent recognition on the input corpus, and when it recognizes that the user has a clear intention, it replies to the user with a reply corpus that matches the clear intention; however, when the user's unclear intention is recognized Intentions, the task-based dialogue cannot be triggered, and the user needs to re-adjust the input corpus and re-trigger the intention recognition, which makes the dialogue efficiency low, which in turn leads to low efficiency of human-computer interaction and affects the user dialogue experience.

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